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来源类型Working Paper
规范类型报告
DOI10.3386/w14430
来源IDWorking Paper 14430
Are Structural VARs with Long-Run Restrictions Useful in Developing Business Cycle Theory?
V. V. Chari; Patrick J. Kehoe; Ellen R. McGrattan
发表日期2008-10-24
出版年2008
语种英语
摘要The central finding of the recent structural vector autoregression (SVAR) literature with a differenced specification of hours is that technology shocks lead to a fall in hours. Researchers have used this finding to argue that real business cycle models are unpromising. We subject this SVAR specification to a natural economic test by showing that when applied to data generated from a multiple-shock business cycle model, the procedure incorrectly concludes that the model could not have generated the data as long as demand shocks play a nontrivial role. We also test another popular specification, which uses the level of hours, and show that with nontrivial demand shocks, it cannot distinguish between real business cycle models and sticky price models. The crux of the problem for both SVAR specifications is that available data necessitate a VAR with a small number of lags and, when demand shocks play a nontrivial role, such a VAR is a poor approximation to the model's infinite order VAR.
主题Econometrics ; Estimation Methods ; Macroeconomics ; Macroeconomic Models ; Consumption and Investment ; Business Cycles
URLhttps://www.nber.org/papers/w14430
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/572105
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V. V. Chari,Patrick J. Kehoe,Ellen R. McGrattan. Are Structural VARs with Long-Run Restrictions Useful in Developing Business Cycle Theory?. 2008.
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